#knowledgeshorts Redis Major issue and Solutions to over come #redis #inmemory

#shorts
Link: https://youtu.be/rfa9KpbR8qE

Redis Major issue and Solutions to over come #notjustrestart #redis #inmemory #nosql #keyvalue #transaction #opensource #grpc #sentinels

#limiteddatadurability
Redis is an in-memory database, and by default, it stores data in memory, which means that if the server fails or is restarted, all the data in memory will be lost. To overcome this, Redis provides a feature called persistence, which allows data to be saved to disk periodically.

#limitedscalability
Redis is a single-threaded database, which means that it can only utilize a single core of a server. However, Redis provides clustering and sharding features to overcome this limitation and distribute the workload across multiple nodes.

#limitedqueryingcapabilities
Redis does not support complex queries like SQL databases. However, Redis provides support for basic querying capabilities like key-value lookups, range queries, and simple pattern matching.

#lackoftransactions
Redis does not support ACID-compliant transactions, which can make it challenging to ensure data consistency in complex multi-step operations. However, Redis provides support for atomic operations, which can be used to build more complex operations.

#limitedsecurityfeatures
Redis does not provide built-in support for authentication, encryption, or access control. However, Redis can be secured by configuring firewalls, encrypting traffic, and using third-party authentication and authorization systems.

#limiteddatatypes
Redis supports a limited set of data types, including strings, lists, sets, hashes, and sorted sets. However, Redis provides support for custom data types and data structures using modules.

#limitedsecondaryindexing
Redis does not provide built-in support for secondary indexing, which can make it challenging to query data based on non-primary keys. However, Redis provides support for secondary indexing using custom data structures and modules.

#limitedanalyticscapabilities
Redis does not provide built-in support for data analytics, which can make it challenging to perform complex queries or run analytics on large datasets. However, Redis can be integrated with third-party analytics systems like Apache Spark or Hadoop.

#limitedsupportforlargedatasets
Redis is an in-memory database, and its performance can degrade if the dataset exceeds the available memory. However, Redis provides support for offloading data to disk or using external storage systems like Amazon S3.

#limitedreliability
Redis can be prone to crashes or data corruption if not configured correctly. However, Redis provides support for monitoring, backup, and disaster recovery to ensure high availability and reliability.